Back to leaderboard

text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Jun 17, 2026 · ZHAOXIN KaiXian KX-7000 KaiXian KX-7000

Global Score
59 vs 65
Hardware Fit
94 vs 87
Quality Score
44 vs 56

Hardware

text-embedding-nom… qwen2.5:1.5b
MachineMacBook AirShanghai Zhaoxin Semiconductor Co., Ltd. ZXE CRB
CPUApple M4ZHAOXIN KaiXian KX-7000 KaiXian KX-7000
Cores108
RAM32 GB30 GB
GPUApple M4ZX C-1190
OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

text-embedding-nom… qwen2.5:1.5b
Tokens/sec45.316.8
First chunk2440 ms941 ms
TTFT2.4 s941 ms
Load timeN/A0.2 s
Memory usage0.0 GB1.0 GB
Memory %0%3%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed
40/50
TTFT
25/20
Memory
29/30

qwen2.5:1.5b

Speed
37/50
TTFT
20/20
Memory
30/30

Quality

text-embedding-nomic-em…

Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

qwen2.5:1.5b

Reasoning
8/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest